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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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, simulation modelling and digital twin technology. Key experience and competencies: PhD in a relevant subject (Essential) Experience of (agro) ecological field work – ecological surveys, sampling and monitoring
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models
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an open 2-year postdoc position in relation EUROfusion; specifically, on remote maintenance of fusion power plants. The project is on modelling and controller design for the transporter robot for extracting
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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for planning and executing experiments in climate chambers and in buildings. You will be responsible for carrying out dynamic building simulation models. You will be responsible for disseminating research
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the coastal region are largely unknown. SHORE aims to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and
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immunology, neuroscience and development of novel nutritional interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models